The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions حسب Abdulmalik Alwarafy (17984104)

"…Then, we provide a comprehensive review of the most widely used DRL algorithms to address RRAM problems, including the value- and policy-based algorithms. …"

Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers حسب Zain Ul Abideen Tariq (17984107)

"…<p dir="ltr">The evolving landscape of beyond 5G and 6G wireless communication systems in smart urban environments faces numerous interference-related challenges posed by legitimate and illicit devices. …"

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

"…In this context, we formulate the problem as a non-linear programming (NLP) optimization problem aimed at maximizing the total EH IoT devices and determining the optimal trajectory paths for UAVs while adhering to the constraints related to the maximum time duration, the UAVs’ maximum energy consumption, and the minimum data rate to achieve a reliable transmission. Due to the complexity of the problem, the combinatorial nature of the formulated problem, and the difficulty of obtaining the optimal solution using conventional optimization problems, we propose a lightweight meta-RL solution capable of solving the problem by learning the system dynamics. …"

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique حسب Iqbal Hassan (22155274)

Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials حسب Ghouti, Lahouari

"…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …"
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Face Recognition in Uncontrolled Indoor Environment حسب Abuqaaud, Kamal Adel

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Collision-Free Autonomous Navigation Solution for Mobile Wheeled حسب Elsergany, Ahmed Moataz Mahmoud

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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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A Novel Centrality-Based Approach for Link Prediction حسب El Khoury, Elissa Lichaa

"…Link prediction aims to identify missing or future connections between entities of a complex system, when modeled as a network. This research problem has attracted significant attention due to its relevance in numerous fields. …"
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Multigrid solvers in reconfigurable hardware. (c2006) حسب Kasbah, Safaa J.

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Assigning proctors to exams using scatter search. (c2006) حسب Zeidan, Moujab Moustapha

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Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter حسب Syed Rahman (569240)

"…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"

DRL-Based IRS-Assisted Secure Visible Light Communications حسب Danya A. Saifaldeen (19498705)

"…Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. …"

A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants حسب Khan, T.

"…The use of U-model alleviates the computational complexity of on-line nonlinear controller design that arises when using other modelling frame works such as NARMAX model. …"
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Improving Rule Set Based Software Quality Prediction حسب Azar, Danielle

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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment حسب Farhat Mahmood (15468854)

"…The artificial neural network demonstrates a higher prediction accuracy and is used as the system model in the proposed control framework. A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …"

Leveraging UAVs for Coverage in Cell-Free Vehicular Networks حسب Samir, Moataz

"…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …"
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A hybrid EDF/FIFO queue for efficient real time flow handling حسب Fawaz, W.

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R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks حسب Tamer Ahmed Eltaras (22565414)

"…Building on this foundation, the second algorithm extends this analytical approach to support high-dimensional input data, substantially enhancing its utility across complex real-world datasets. …"

Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

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